Back-end Engineer
Accenture in India Bengaluru, Karnataka, India
Job Description
"Join Accenture as a Back-end Engineer and drive the development of AI-driven knowledge platforms, utilizing your expertise in data infrastructure, APIs, and multi-modal database systems."
As a Back-end Engineer at Accenture, you will be part of a dynamic team responsible for designing, building, and operating the data infrastructure and services that power our AI-driven knowledge platform. You will work across the full back-end stack, leveraging your strong engineering fundamentals to architect APIs, build data pipelines, manage multi-modal database systems, and ensure the reliability and performance of services that application and product teams depend on.
This is an exciting opportunity to bring your expertise in knowledge graph and semantic technology to the forefront, while also working across the broader data and service layer: ingestion, transformation, storage, retrieval, and delivery at enterprise scale.
Why you should learn this:
High demand in the current market, with Accenture's clients seeking expertise in AI-driven knowledge platforms and data infrastructure.
Expected Salary: The average salary for a Back-end Engineer in Accenture ranges from ₹20 lakhs to ₹40 lakhs per annum.
How it works:
- Designing and building data infrastructure and services that power AI-driven knowledge platforms.
- Architecting APIs, building data pipelines, managing multi-modal database systems, and ensuring reliability and performance of services.
Core Concepts to Master
Knowledge Graph and Semantic Technology
A knowledge graph is a type of graph database that stores and represents knowledge as a network of entities, relationships, and attributes. Semantic technology, such as RDF and OWL, is used to describe and reason about the data in the graph. As a Back-end Engineer, you will work with knowledge graphs and semantic technology to build and manage the data infrastructure and services that power our AI-driven knowledge platform.
API Design and Development
You will design and develop RESTful APIs that provide data access and manipulation services to application and product teams. This includes designing API endpoints, implementing API security, and ensuring API performance and scalability.
Data Pipeline Development
You will build data pipelines that extract, transform, and load data from various sources into the knowledge graph. This includes designing and implementing data processing workflows, handling data quality and integrity, and ensuring data security and compliance.
Multi-Modal Database System Management
You will manage and maintain multi-modal database systems that store and retrieve data from various sources. This includes designing and implementing database schema, optimizing database performance, and ensuring data consistency and integrity.
Interview Questions (Beginner)
- What is a knowledge graph, and how is it used in AI-driven knowledge platforms?
- Can you explain the difference between a relational database and a graph database?
- How do you ensure data quality and integrity in a data pipeline?
Job Overview
Advance Questions
- • Can you describe a scenario where you would use a knowledge graph and semantic technology to solve a complex problem?
- • How would you design and implement a RESTful API to provide data access and manipulation services to application and product teams?
- • Can you explain how you would optimize the performance of a multi-modal database system?